Top Machine Learning Jobs in Vancouver

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The role involves developing machine learning models, implementing features, managing data pipelines, mentoring engineers, and improving system health for Slack's AI-powered functionalities.

As a Senior AI Engineer, you'll design and build scalable AI systems, optimize data pipelines, and integrate LLM advancements, mentoring teammates and influencing product discussions.

As a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

The role involves building scalable data pipelines for the Replica product, ensuring efficient data flow for training and evaluation while collaborating with ML engineers.

Develop and integrate machine learning models focused on pose estimation and structure-from-motion for improving geometric reconstruction pipelines.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Machine Learning Engineer will design, train, deploy, and maintain ML systems for tasks like forecasting and anomaly detection in music. Responsibilities include model lifecycle management, collaboration with teams, and development of agentic AI systems.

The Senior Account Executive will engage in B2B sales, developing relationships, understanding dealer needs, increasing revenue, and collaborating with stakeholders, while traveling 50-75%.

The Senior Machine Learning Engineer will build and deploy NLP and LLM models, enhance system architecture, and collaborate with cross-functional teams for impactful outcomes.

The Machine Learning Engineer will design, implement, and deploy ML models for character animation, collaborating with various teams and improving existing systems.

The Senior Machine Learning Engineer will implement and optimize AI models, build scalable ML pipelines, integrate AI into SaaS systems, and ensure high reliability and performance in production environments.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Senior Software Engineer will design and build scalable data and ML platforms, ensuring high-quality data flow while improving system efficiency and supporting internal teams.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

The ML Ops role focuses on building and managing infrastructure for deploying AI models in production, ensuring scalability, performance, and reliability. Key responsibilities include optimizing GPU workloads, designing CI/CD pipelines, and implementing observability for their platform.

Design and scale the infrastructure for ML systems, enabling reliable trading system production, optimizing performance and ensuring correctness across complex environments.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.